{"id":"W2123243821","doi":"","title":"Limitations of a spirometry interpretation algorithm.","year":2011,"lang":"fr","type":"article","venue":"PubMed","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Spirometry; COPD; Pulmonary disease; Medicine; Primary care; Interpretation (philosophy); Computer science; Intensive care medicine; Physical therapy; Algorithm; Internal medicine; Asthma; Family medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06807177,0.001154928,0.001405139,0.002792796,0.001499479,0.005624153,0.004245744,0.002190785,0.002718745],"category_scores_gemma":[0.2054276,0.0009944201,0.001210808,0.002397956,0.00165711,0.002679101,0.003117879,0.002966935,0.001902413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002734171,"about_ca_system_score_gemma":0.005669672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006456545,"about_ca_topic_score_gemma":0.007470208,"domain_scores_codex":[0.892194,0.0489814,0.01891635,0.00640257,0.03262706,0.0008785196],"domain_scores_gemma":[0.8108727,0.1211677,0.01037644,0.01242265,0.04303328,0.002127283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005947237,0.0001978441,0.09094121,0.00219171,0.0004481606,0.0002326516,0.0008018444,0.005352947,0.0009843515,0.01118606,0.09794339,0.7891251],"study_design_scores_gemma":[0.0005355569,0.001311626,0.2144628,0.01512613,0.002205921,0.02193909,0.002045355,0.2077155,0.008805873,0.06684671,0.4583075,0.0006979965],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1055419,0.06450467,0.6143386,0.120582,0.01192345,0.003328343,0.01209825,0.009675386,0.05800744],"genre_scores_gemma":[0.4469789,0.005602599,0.5248514,0.013558,0.001642665,0.00144027,0.003307298,0.0006551939,0.001963581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06807177,"threshold_uncertainty_score":0.3600022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09087344166453758,"score_gpt":0.2820158768994305,"score_spread":0.1911424352348929,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}